Gemini 1.5 introduced a major breakthrough in AI with its notably large context window. It can process up to 2 million tokens at once vs. the typical 32,000 - 128,000 tokens. This is equivalent to being able to remember roughly 100,000 lines of code, 10 years of text messages, or 16 average English novels.
The purpose of this dataset is to experiment with a use case that can demonstrate the added value of GEMINI's long context processing. The general idea of this use case that can be applied everywhere is to build a solution through iterations and improvement thanks to the large window context. The specific use case for which this dataset has been set up is titled “Mixing vocal chain” and aims to provide Gemini with videos, pre- and post-mix audios, as well as content on plugins and their documentation in order to create the vocal chain that can works no matter the daw, the music style and artist genre.